DeepPavlov
DeepPavlov is an open-source library for building conversational AI assistants. It provides pre-trained models and tools for natural language understanding, question answering, document ranking and more.
conversational-ai
nlp
question-answering
document-ranking
DeepPavlov: Open-Source Conversational AI Library
DeepPavlov is an open-source library for building conversational AI assistants. It provides pre-trained models and tools for natural language understanding, question answering, document ranking and more.
What is DeepPavlov?
DeepPavlov is an open-source library focused on deep learning end-to-end dialog systems and knowledge-grounded conversational AI agents. It allows researchers and developers to quickly prototype conversational AI assistants.
Some key capabilities and features of DeepPavlov include:
- Pre-trained models for tasks like intent recognition, slot filling, sentiment analysis, question answering, document ranking etc.
- Tools for building chatbots with minimal coding, including rule-based and generative bots
- State-of-the-art algorithms and architectures like BERT, GPT-2, Transformers
- Flexible and customizable pipeline architecture
- Integration of conversational AI with knowledge bases
- Support for multi-skill conversational systems
- Evaluation capabilities for conversational AI systems
DeepPavlov aims to accelerate and simplify applied research and development of conversational AI and NLP. The library is open-sourced under the Apache 2.0 license.
DeepPavlov Features
Features
- Pre-trained models for NLP tasks like classification, named entity recognition, sentiment analysis, etc
- Built-in integrations for chatbots and virtual assistants
- Tools for building conversational systems and dialog management
- Knowledge base component for managing facts and answering questions
- Framework for quickly training custom NLP models
- Modular architecture that allows combining multiple skills
Pricing
- Open Source
Pros
Open source and free to use
Pre-trained models allow quick prototyping
Good documentation and active community support
Scalable and production-ready
Supports multiple languages beyond English
Cons
Less flexible compared to coding a custom NLP pipeline
Pre-trained models may need fine-tuning for best performance
Limited to conversational AI, not a general NLP toolkit
Official Links
The Best DeepPavlov Alternatives
Top Ai Tools & Services and Natural Language Processing and other similar apps like DeepPavlov
Here are some alternatives to DeepPavlov:
Suggest an alternative ❐
ParlAI
ParlAI (pronounced "par-lay") is an open-source software platform created by Facebook AI Research for developing conversational artificial intelligence agents. Its key features include:Unified framework for interacting with many popular dialogue datasets like SQuAD, bAbI tasks, MOOC, Twitter, etc.Support for training and evaluating chit-chat models, question answering, task completion and moreTools...
ConvLab
ConvLab is an open-source toolkit for building conversational AI agents. It provides a set of reusable components that can be easily customized and assembled to create multi-modal, multi-agent conversational systems for various conversation scenarios such as chit-chat, recommendation, negotiation and task-completion.Some key features of ConvLab include:Modular architecture - Components such...
Plato Research Dialogue System
Plato Research Dialogue System is an open-source conversational AI platform developed by Amazon Alexa team. It is designed to advance state-of-the-art AI methods for building chatbots and dialogue systems using machine learning techniques.Plato provides tools and capabilities to train dialogue agents through text conversations. The goal of Plato is to...
Virtual Human Toolkit
The Virtual Human Toolkit (VHTK) is an open-source platform developed by the University of Southern California Institute for Creative Technologies for building and deploying embodied conversational agents, also known as virtual humans. VHTK provides a comprehensive set of tools for creating 3D virtual character models, animating them using procedural animation...
PyDial
PyDial is an open-source toolkit for building spoken dialogue systems. It is implemented in Python and provides a set of reusable modules that facilitate the rapid development of task-oriented dialogue agents.Some of the key capabilities and features of PyDial include:Automatic speech recognition (ASR) - PyDial integrates several ASR engines like...
Rasa Core
Rasa Core is an open-source machine learning framework for developing contextual AI assistants and chatbots. It provides the dialogue management and conversational capabilities to have natural, flexible conversations.Some key features of Rasa Core include:Contextual conversations - Rasa Core tracks context during conversations to respond appropriately and have logical flows.Custom actions...
